Cloud costs observability,management and automation platform
Empower your team with AI agents to optimize cloud costs, answer questions, explain anomalies, send reports, assign tasks, and more.
Cloudchipr's AI agents automatically detect cost anomalies, explain spend changes across dimensions, and generate human-readable summaries. Ask AI feature allows teams to query cloud costs conversationally and receive instant insights, forecasts, and recommendations.
Cloudchipr's no-code automation engine uses simple if-then logic to trigger actions like resource cleanup, notifications, or reports. Unlimited integrations and scheduled runs allow teams to enforce cost hygiene policies continuously without engineering overhead.
Cloudchipr's Billing Explorer and Dimensions features enable multi-cloud cost analytics with dynamic cost allocation rules. Real-time dashboards and forecasting help finance and engineering teams track spend by custom dimensions and understand cost drivers across all connected cloud accounts.
Cloudchipr monitors Kubernetes clusters for inefficiencies and provides AI-powered recommendations to reduce costs and improve performance. Granular container cost visibility helps DevOps teams right-size workloads and eliminate idle resources in Kubernetes environments.
Cloudchipr provides automated workflows that continuously scan cloud environments, detect unused resources, and trigger cleanup actions without manual intervention. Live resource management and anomaly detection help teams eliminate waste across AWS, GCP, and Azure simultaneously.